AI in Sales: The Secret to Closing More Deals

Sales AI tools, like chatbots, can handle these repetitive tickets with basic natural language understanding, freeing up sales professionals to focus on more important work. Bots are used by other departments as well, such as for automated credit approval and AI assistants that predict appointment cancellations. In addition to predictive analytics, AI can also be used to optimize website design and content. By analyzing data about how customers interact with websites, businesses can identify areas that need improvement. For example, if it is observed that many customers leave a website without making a purchase, the business could redesign the website to make it more user-friendly.

From 2018 to 2022, AI adoption in sales has increased by 76%, with high-performing sales teams 2.8 times more likely to use an AI-integrated sales stack. AI, on the other hand, can extract meaningful information from myriads of data and deliver key findings to your dashboards in minutes. For instance, algorithms can identify factors that drive more deals, sales agents that close most valuable clients, and other findings you may deem relevant.

Features of AI in sales and marketing

In some B2B sales processes, it can take upwards of 20 touchpoints to close a sale. The last AI in sales use case we’ll cover today is all about staff training. First off, all of the data that this technology can analyze is imperative for quickly onboarding sales reps. After all, it provides all the key insights that they’ll need to be aware of.

The average rep spends less than one-third of their time on sales activities—a clear indicator as to why 79% of sales team members report disengagement. A high churn rate holds companies back from sustainable growth, and often sales reps don’t have the data they need to spot customers at risk of churning. Now, the recent emergence of generative AI has opened the door to a number of new uses that can further streamline and eliminate manual tasks. In fact, Forrester projects the global AI market size to grow nearly 40% every year from 2023 to 2030. As AI tools continue to evolve, AI-guided selling has the potential to transform sales and help organizations achieve greater efficiency and performance than ever before. Many sales teams have already started adopting chatbots to do just this — freeing up reps for deeper relationship building and strategic conversations.

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For example, we fed the transcript of an old call to ChatGPT, and asked it to pinpoint the salesperson Nishit’s areas of improvement from this call. Today’s most forward-thinking companies are finding ways to marry the efficiency artificial intelligence in sales of AI with the emotional intelligence of human beings. In settings where high-value transactions and long-term commitments are involved—think real estate or luxury retail—a human touch can make all the difference.

• Through our partnership with WebFX, we also offer access to advanced revenue marketing technology as well as implementation and consulting services for sales and marketing technology.
• AI can even help reps with post-call reporting, which is one of those essential-but-tedious tasks.
• Sales reps can easily face decision fatigue when it comes to the massive volume of leads they need to follow up on.
• The sales department, for example, has historical purchase data, while the marketing department has website analytics and promotional campaign data.

With this information, you will focus your attention on vital salespeople that are decision-makers. Artificial intelligence for sales also formulates actions based on actual data that leads to the most profitable outcome. AI can be instrumental in giving reps the tools to say the right thing at the right time. My company had a client that asked us to predict customer churn by looking at user engagement data. For Instance, the data might suggest that the director or vice president of sales is your best bet at companies within a certain range of revenue.